update

core/ui/flet/app_v2.py

@@ -474,6 +474,7 @@ class _DrawerPanel:
         self._dataset_table = ft.ListView(expand=True)
         self._dataset_col = ft.Column(scroll=ft.ScrollMode.AUTO, expand=True)
         self._scoring_table = ft.ListView(expand=True)
+        self._backtest_col = ft.Column(scroll=ft.ScrollMode.AUTO, expand=True)
 
         bar = ft.TabBar(tabs=[
             ft.Tab(label="实时价格监控"),
@@ -666,10 +667,15 @@ class _DrawerPanel:
 
     def _build_dataset_tab(self) -> ft.Control:
         self._dataset_status = ft.Text("就绪", size=12, color='#888888')
+        self._backtest_label = ft.Text("v6.7r3 回测曲线", size=11, color='#aaaaaa')
+        self._backtest_img = ft.Container(visible=False)  # 回测图表占位，运行时替换为 Image
         return ft.Column([
             self._dataset_status,
             self._dataset_col,
-        ], expand=True, spacing=6)
+            ft.Divider(height=2, color='#444444'),
+            self._backtest_label,
+            self._backtest_img,
+        ], expand=True, spacing=6, scroll=ft.ScrollMode.AUTO)
 
     def _run_sync(self, targets: list):
         # 线程锁
@@ -712,6 +718,92 @@ class _DrawerPanel:
 
         threading.Thread(target=_do, daemon=True).start()
 
+    def _refresh_backtest(self):
+        """加载 v6.7r3 回测图表，嵌入数据集 Tab"""
+        import pandas as pd
+        import io, base64, json
+        import matplotlib
+        matplotlib.use('Agg')
+        import matplotlib.pyplot as plt
+        import matplotlib.dates as mdates
+        from pathlib import Path
+
+        model_dir = Path(__file__).parent.parent.parent.parent / 'models'
+        daily_csv = model_dir / 'backtest_v67r3_daily.csv'
+        summary_json = model_dir / 'backtest_v67r3_summary.json'
+
+        if not daily_csv.exists():
+            self._backtest_label.value = "回测数据不存在"
+            self._backtest_label.update()
+            return
+
+        try:
+            df_daily = pd.read_csv(daily_csv, parse_dates=['date'])
+            summary = json.loads(summary_json.read_text()) if summary_json.exists() else {}
+
+            # 更新标题行
+            start_val = summary.get('initial_cash', 60000)
+            final_val = summary.get('final_total_value', 0)
+            self._backtest_label.value = (f"v6.7r3 回测  初始:{start_val:,.0f} → 终值:{final_val:,.0f}  "
+                                         f"收益:{summary.get('total_return_pct',0):.1f}%  "
+                                         f"夏普:{summary.get('annual_sharpe',0):.2f}  "
+                                         f"回撤:{summary.get('max_drawdown_pct',0):.1f}%")
+            self._backtest_label.update()
+
+            # 渲染总资产曲线
+            import matplotlib.font_manager as mfont
+            # 查找中文字体
+            cjk_names = ['Microsoft YaHei', 'SimHei', 'Noto Sans SC', 'WenQuanYi']
+            cjk_font = next((f.fname for f in mfont.fontManager.ttflist
+                            if any(n in f.name for n in cjk_names)), None)
+            if cjk_font:
+                prop = mfont.FontProperties(fname=cjk_font)
+                plt.rcParams['font.family'] = prop.get_name()
+            plt.rcParams['axes.unicode_minus'] = False
+            fig, ax = plt.subplots(figsize=(7, 3.5), dpi=100)
+            fig.patch.set_facecolor('#1e1e1e')
+            ax.set_facecolor('#2d2d2d')
+            ax.plot(df_daily['date'], df_daily['total_asset'], color='#4CAF50', linewidth=1.5)
+            ax.fill_between(df_daily['date'], df_daily['total_asset'], alpha=0.1, color='#4CAF50')
+            ax.set_title('总资产曲线 (v6.7r3)', color='#ffffff', fontsize=10)
+            ax.set_ylabel('元', color='#cccccc', fontsize=9)
+            ax.tick_params(colors='#cccccc', labelsize=8)
+            ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
+            ax.xaxis.set_major_locator(mdates.MonthLocator(interval=3))
+            plt.setp(ax.xaxis.get_majorticklabels(), rotation=30, ha='right')
+            for spine in ax.spines.values():
+                spine.set_color('#555555')
+            ax.grid(True, alpha=0.15, color='#888888')
+            # 标注起点终点
+            ax.annotate(f'{start_val:,.0f}', xy=(df_daily['date'].iloc[0], start_val),
+                       xytext=(3, 5), textcoords='offset points', color='#aaaaaa', fontsize=8)
+            ax.annotate(f'{final_val:,.0f}', xy=(df_daily['date'].iloc[-1], final_val),
+                       xytext=(3, 5), textcoords='offset points', color='#4CAF50', fontsize=8, fontweight='bold')
+            plt.tight_layout()
+            buf = io.BytesIO()
+            fig.savefig(buf, format='png', bbox_inches='tight', facecolor=fig.get_facecolor())
+            buf.seek(0)
+            img_b64 = base64.b64encode(buf.read()).decode()
+            plt.close(fig)
+
+            # 用实际 Image 替换占位的 Container
+            new_img = ft.Image(
+                src=f'data:image/png;base64,{img_b64}',
+                fit=ft.BoxFit.CONTAIN,
+                height=240,
+                visible=True,
+            )
+            # 找到 placeholder Container 在 Column 中的位置，替换
+            idx = self._backtest_label.parent.controls.index(self._backtest_img)
+            self._backtest_label.parent.controls[idx] = new_img
+            self._backtest_img = new_img
+            self._backtest_label.parent.update()
+
+        except Exception as ex:
+            self._backtest_label.value = f"图表加载失败: {ex}"
+            self._backtest_label.color = '#F44336'
+            self._backtest_label.update()
+
     def _set_sync_btns_disabled(self, disabled: bool):
         for btn in self._sync_btns:
             btn.disabled = disabled
@@ -776,6 +868,7 @@ class _DrawerPanel:
             rows.append(ft.Divider(height=1, color='#f0f0f0'))
 
         self._dataset_col.controls = rows
+        self._refresh_backtest()
 
     # ── Tab 6: 每日评分 ──
     def _build_scoring_tab(self) -> ft.Control: